I am getting this error when i run it help please

Initial Mu values Not enough input arguments.

Error in kmeans (line 25) mu=rand(c,3)*255 %Initialize random numbers between 0 and 255

function kmeans(c) %Algorithm takes k (c=k) means and classifies data into clusters around %different mean points I=imread('house.tiff'); imshow(I); [M,N,D]=size(I); X=reshape(I,M*N,3); x=double(X); figure; plot3(x(:,1),x(:,2),x(:,3),'.') xlim([0 255]); ylim([0 255]); zlim([0 255]); hold on; grid; title('All pixels in RGB'); xlabel('Red'); ylabel('Green'); zlabel('Blue');

mu=zeros(2,3); %Data has 3 axes: R,G,B Mus=zeros(2,3); Mucount=1;

disp('Initial Mu values'); mu=rand(c,3)*255 %Initialize random numbers between 0 and 255

for i=1:c Mus(i,:)=mu(i,:); Mucount=Mucount+1; end

iteration=0; delta_mu=1; jpt_count=1; f=@(a,b) (a-b).^2; jpt=0; jps=0;

while(delta_mu>0) v=zeros(length(x),2); jp=zeros(length(x),2); index=0; for j=1:c v(:,j)=squeeze(sqrt(sum(bsxfun(f,x,mu(j,:)),2))); jp(:,j) = sum( bsxfun(f,x,mu(j,:)) ,2); jps(j) = sum(jp(:,j)); end jpt(jpt_count) = sum(jps); jpt_count = jpt_count+ 1; [minv,index]=min(v,[],2); [cluster,count]=MinIndex(x,index); if(iteration==0) %Get cluster mean at first stage cluster1=cluster; count1=count; %Get cluster mean at second stage end if(iteration==1) cluster2=cluster; count2=count; end meanV=zeros(1,3); delta_mu=0; for i=1:c meanV=mean(cluster(1:count(i)-1,(i*3)-2:(i*3))); Mus(Mucount,:)=meanV; Mucount=Mucount+1; delta_mu=delta_mu+abs(mu(i,:)-meanV); %delta_mu will remain zero if no mu change from previous iteration mu(i,:)=meanV; end iteration=iteration+1; end figure; plot(1:iteration,jpt); %Plot the error criterion grid; xlabel('Number of Iterations'); ylabel('Error Criterion J'); title('Error Criterion');

%% Find the Xie-Beni Index XieBeni=0; for k=1:size(x,1) for j=1:c if index(k,1)==j XieBeni=XieBeni+v(k,j)/min(norm(mu-repmat(mu(c,:),c,1))); end end end

disp('Xie-Beni Index'); XieBeni=XieBeni/size(x,1)

%% Plot first stage clusters figure; subplot(2,2,1); colour=zeros(1,3); for i=1:c colour(i,:)= Mus(length(Mus)-i,:)/255; plot3(cluster1(1:count1(i)-1,(i*3)-2),cluster1(1:count1(i)-1,(i*3)-1),cluster1(1:count1(i)-1,(i*3)),'.','Color',colour(i,:)); hold on; end xlabel('Red'); ylabel('Green'); zlabel('Blue'); title('First Stage'); grid; %% Plot second stage clusters subplot(2,2,2); colour=zeros(1,3); for i=1:c colour(i,:)= Mus(length(Mus)-i,:)/255; plot3(cluster2(1:count2(i)-1,(i*3)-2),cluster2(1:count2(i)-1,(i*3)-1),cluster2(1:count2(i)-1,(i*3)),'.','Color',colour(i,:)); hold on; end xlabel('Red'); ylabel('Green'); zlabel('Blue'); title('Second Stage'); grid; %% Plot final stage clusters subplot(2,2,3); colour=zeros(1,3); for i=1:c colour(i,:)= Mus(length(Mus)-i,:)/255; plot3(cluster(1:count(i)-1,(i*3)-2),cluster(1:count(i)-1,(i*3)-1),cluster(1:count(i)-1,(i*3)),'.','Color',colour(i,:)); hold on; end xlabel('Red'); ylabel('Green'); zlabel('Blue'); title('Final Stage'); grid;

%% Display the image w/ dominant colours for i=1:length(index) image(i,:)=mu(index(i),:); end

Ilabeled=reshape(image,M,N,3); subplot(2,2,4); imshow(uint8(Ilabeled)); title('Image');

%% Plot the cluster means

figure; subplot(2,2,3) plot3(Mus(length(Mus)-c:length(Mus),1),Mus(length(Mus)-c:length(Mus),2),Mus(length(Mus)-c:length(Mus),3),'*','Color',[ 0 0 1 ]) title('Last Cluster Mean'); grid;

subplot(2,2,1) plot3(Mus(1:c,1),Mus(1:c,2),Mus(1:c,3),'*','Color',[ 0 0 1 ]) title('First Cluster Mean'); grid;

subplot(2,2,2) plot3(Mus(c+1:c*2,1),Mus(c+1:c*2,2),Mus(c+1:c*2,3),'*','Color',[ 0 0 1 ]) title('Second Cluster Mean'); grid;

%% Display any data

disp('Final Mean values'); mu end